Method for predicting vegetation recovery after construction of power transmission and transformation tower footing based on consideration of environmental water conservation

Abstract

The invention provides a method for predicting vegetation recovery after power transmission and transformation tower footing construction based on environmental water conservation consideration. The method comprises the following steps: collecting multi-dimensional effective environmental data of a specified area, analyzing a plurality of ecological parameters of the specified area by utilizing an ecological principle, and constructing an ecological model of the specified area, inputting construction data of a specified area into an ecological model, simulating vegetation restoration results of the specified area in a plurality of specified time periods, generating vegetation restoration dynamic information, analyzing positive influence and negative influence of the construction on each vegetation coverage area, establishing post-construction soil attributes corresponding to each vegetation coverage area, and constructing a vegetation restoration model; in combination with terrain information of corresponding vegetation coverage ranges, corresponding planting vegetation is matched for each vegetation coverage range, a vegetation recovery scheme of a designated area is established, vegetation recovery prediction and ecological environment influence evaluation are combined, and a comprehensive decision basis is provided for coordinated development of engineering construction and environmental protection.

Description

Technical Field

[0001] The invention relates to the technical field of ecological environment protection and vegetation restoration, and in particular to a vegetation restoration prediction method after the construction of a transmission and transformation tower foundation based on environmental and water conservation considerations. Background Art

[0002] During the construction of the transmission and transformation tower foundation, there will be certain impacts on the surrounding ecological environment, such as soil disturbance and vegetation destruction. In order to achieve the coordinated development of engineering construction and environmental protection, it is necessary to predict and evaluate the vegetation restoration after construction. In the existing technology, the methods for predicting vegetation restoration are relatively simple and fail to fully consider factors such as environmental hydrological conditions and soil characteristics, resulting in inaccurate prediction results.

[0003] At present, there are still many shortcomings in the methods of vegetation restoration, such as: 1. Single prediction method: Existing vegetation restoration prediction methods often use simple empirical formulas or analogies, which fail to fully consider the specific environmental hydrological conditions and soil characteristics of the construction area, resulting in inaccurate prediction results.

[0004] 2. Ignoring ecological principles: Existing technologies rarely use ecological principles when predicting vegetation restoration and are unable to accurately simulate the natural growth process of vegetation.

[0005] 3. Insufficient data support: Existing technologies lack the ability to analyze large amounts of historical data and cannot provide sufficient data support to develop scientific vegetation restoration plans.

[0006] 4. Limited prediction content: Existing technologies can only predict the overall trend of vegetation restoration, but cannot specifically predict key indicators such as the speed, type and coverage of vegetation restoration.

[0007] 5. Incomplete environmental impact assessment: Existing technologies fail to effectively combine vegetation restoration prediction with ecological and environmental impact assessment, and are unable to provide comprehensive decision-making support for environmental protection.

[0008] Therefore, the present invention provides a method for predicting vegetation restoration after the construction of a transmission and transformation tower foundation based on environmental and water conservation considerations. Summary of the invention

[0009] The present invention is a method for predicting vegetation restoration after the construction of a power transmission and transformation tower foundation based on environmental and water conservation considerations. By comprehensively considering the environmental hydrological conditions and soil characteristics of the construction area, a more accurate vegetation restoration prediction model is established. The ecological model is used to more realistically simulate the vegetation restoration process and improve the scientific nature of the prediction. Big data analysis technology is used to conduct in-depth analysis of a large amount of data, providing strong data support for the formulation of vegetation restoration plans, combining vegetation restoration prediction with ecological environmental impact assessment, and providing a comprehensive decision-making basis for the coordinated development of engineering construction and environmental protection.

[0010] The present invention provides a vegetation restoration prediction method after the construction of a transmission and transformation tower foundation based on environmental and water conservation considerations, comprising: Step 1: Collect multi-dimensional environmental data of a specified area, perform data preprocessing on the multi-dimensional data, and obtain multi-dimensional effective environmental data of the specified area; Step 2: Analyze several ecological parameters of the designated area using ecological principles and the multi-dimensional effective environmental data, and construct an ecological model of the designated area using the ecological parameters; Step 3: Collect the construction data of the designated area and input it into the ecological model, simulate the vegetation restoration results corresponding to the designated area in several designated time periods, and generate vegetation restoration dynamic information; Step 4: Analyze the positive and negative impacts of the construction on each vegetation coverage area based on the vegetation restoration dynamic information, and establish the post-construction soil properties corresponding to each vegetation coverage area; Step 5: According to the soil properties after construction and the terrain information of the corresponding vegetation coverage area, the corresponding planting vegetation is matched for each vegetation coverage area, and a vegetation restoration plan for the designated area is established.

[0011] In one practicable manner, Also includes: Planting corresponding optional vegetation in each planting area according to the vegetation restoration plan; After the planting is completed, the vegetation in the designated area is maintained according to the vegetation restoration plan.

[0012] In one practicable manner, The step 1 comprises: Step 11: using a geographic information system to collect terrain data, climate data, and hydrological data of the designated area, performing soil sampling and analysis on the designated area to obtain soil data and microbial data of the designated area, performing vegetation sampling and analysis on the designated area to obtain vegetation coverage data and vegetation type data of the designated area, and statistically analyzing a number of data corresponding to the designated area to generate multi-dimensional environmental data of the designated area; Step 12: Preliminary cleaning of the multi-dimensional environmental data, eliminating redundant data in the multi-dimensional environmental data to generate preliminary cleaned multi-dimensional environmental data, screening missing data bits contained in the preliminary cleaned multi-dimensional environmental data, respectively determining the data dimensions corresponding to each missing data bit, locating dimension-related data corresponding to each data dimension in the preliminary cleaned multi-dimensional environmental data, and using the median data corresponding to the dimension-related data to perform compensation cleaning for the corresponding missing data bit to generate compensated cleaned multi-dimensional environmental data; Step 13: obtaining a plurality of data scales contained in the compensated and cleaned multidimensional environmental data, respectively determining a plurality of scale-related data corresponding to each of the data scales, respectively marking a data scale corresponding to each of the scale-related data in the compensated and cleaned multidimensional environmental data, analyzing a prominent data scale of the compensated and cleaned multidimensional environmental data, and normalizing the compensated and cleaned multidimensional data using the prominent data scale to generate normalized multidimensional environmental data; Step 14: Acquire several data formats contained in the normalized multi-dimensional environmental data, convert the normalized multi-dimensional environmental data into a standard data format using a conversion relationship between different data formats, and obtain the multi-dimensional effective environmental data of the designated area.

[0013] In one practicable manner, The step 2 comprises: Step 21: Based on ecological principles, the multi-dimensional effective environmental data is divided into ecological soil sub-data, ecological water molecule data and ecological vegetation sub-data, and at the same time, the soil-water-vegetation data relationship of the specified area is constructed, and the soil-water-vegetation data relationship is trained using random forest technology to generate a regional decision tree for the specified area; Step 22: constructing a plurality of soil nodes of the designated area according to the ecological soil sub-data, constructing a plurality of moisture nodes of the designated area according to the ecological water molecule data, and constructing a plurality of vegetation nodes of the designated area according to the ecological vegetation sub-data, inputting the soil nodes, the moisture nodes and the vegetation nodes into the regional decision tree for ecological decision-making, and obtaining a plurality of ecological logic rules in the designated area; Step 23: Analyze the data logic of the multi-dimensional effective environmental data using the ecological logic rules to generate a number of ecological parameters for the designated area; establish a regional model for the designated area according to the ecological logic rules and preset model building rules; use the ecological parameters to adjust the model parameters in the regional model to generate an ecological model for the designated area.

[0014] In one practicable manner, The step 3 comprises: Step 31: after the construction in the designated area is completed, a plurality of construction data of the designated area are collected, and data preprocessing is performed on each of the construction data to generate a plurality of valid construction data, and cluster analysis is performed on the valid construction data to obtain a plurality of construction data sets; Step 32: cross-validating the ecological model using the construction data set to obtain a number of ecological vegetation parameters contained in the designated area, and adjusting the sub-model parameters corresponding to the vegetation sub-model in the ecological model using the ecological vegetation parameters to obtain a post-construction model of the designated area; Step 33: determining several types of ecological vegetation included in the designated area according to the ecological model, and respectively determining the vegetation coverage range corresponding to each of the ecological vegetation, and respectively mapping each of the vegetation coverage ranges to the post-construction model; Step 34: Run the post-construction model to simulate the vegetation coverage information corresponding to each of the mapping ranges in different specified time periods, determine the vegetation growth recovery speed and the vegetation species increase and decrease speed corresponding to each of the mapping ranges based on the vegetation coverage information, construct several vegetation restoration results for the specified area, and establish vegetation restoration dynamic information corresponding to different specified time periods for the specified area based on several vegetation restoration results corresponding to the same specified time period.

[0015] In one practicable manner, Also includes: The designated time periods are one year after construction, two years after construction, and five years after construction; A visual vegetation coverage map corresponding to different specified time periods of the specified area is constructed and displayed according to the vegetation restoration dynamic information corresponding to each specified time period.

[0016] In one practicable manner, The step 4 comprises: Step 41: analyzing the vegetation coverage speed corresponding to each vegetation coverage range in the designated area in different designated time periods according to the vegetation restoration dynamic information, evaluating the corresponding vegetation coverage speed according to the natural coverage speed corresponding to each designated time period, and determining the natural restoration characteristics corresponding to the vegetation coverage range; Step 42: Estimate the biodiversity characteristics of the corresponding vegetation coverage area based on the natural restoration characteristics, establish a number of ecosystem functions corresponding to the designated area in different time periods, and determine the positive and negative impacts of the construction on each of the vegetation coverage areas based on the ecosystem functions; Step 43: Determine the negative impact range contained in the designated area according to the ecosystem function, find the negative performance characteristics corresponding to the negative impact, and input them into the first model range corresponding to the ecological model; determine the positive impact range contained in the designated area according to the ecosystem function, find the positive performance characteristics corresponding to the positive impact, and input them into the second model range corresponding to the ecological model; Step 44: In the ecosystem model, respectively search for the initial soil characteristics corresponding to each model range in the soil model, and negatively adjust and / or positively adjust the corresponding initial soil characteristics in combination with the negative performance characteristics and / or positive performance characteristics corresponding to each model range, so as to obtain the range soil properties corresponding to each model range, and generate the post-construction soil properties corresponding to each vegetation coverage range.

[0017] In one practicable manner, The step 5 comprises: Step 51: Obtain map information of the designated area, determine terrain information corresponding to each vegetation coverage area according to the map information, and fuse the post-construction soil properties corresponding to each vegetation coverage area with the corresponding terrain information to obtain the land attribute information of the designated area; Step 52: simulating the simulated growth rate and the simulated survival rate of each optional vegetation in the corresponding vegetation coverage range according to the land attribute information, and selecting the planting vegetation corresponding to the vegetation coverage range based on the simulated growth rate and the simulated survival rate; Step 53: respectively searching for the planting requirements corresponding to each of the planted vegetation, determining the planting interval, planting layout and planting time corresponding to each of the planted vegetation according to the planting requirements, and generating a vegetation restoration plan for the designated area.

[0018] In one practicable manner, Also includes: The vegetation restoration speed of the designated area is estimated according to the vegetation restoration plan and displayed visually.

[0019] In one practicable manner, Also includes: The biological growth trend of the designated area is estimated according to the vegetation restoration plan and displayed visually.

[0020] The achievable beneficial effects of the above technical solution are: in order to provide a comprehensive decision-making basis for the coordinated development of engineering construction and environmental protection, data is collected from the designated area of ​​this construction before construction, and multi-dimensional environmental data in the area is obtained. Then, a series of processing is performed on the multi-dimensional environmental data to obtain its multi-dimensional effective environmental data, which is convenient for subsequent data analysis. Then, the ecological model of the designated area is constructed using ecological principles and multi-dimensional effective environment. After the construction is completed, the construction data of the designated area is collected, and then the ecological model is used to simulate the vegetation restoration results of the area, thereby constructing the dynamic information of vegetation restoration in the designated area. Since different types of construction will have different impacts on the environment, the positive and negative impacts of this construction on different vegetation coverage areas in the designated area are analyzed based on the dynamic information of vegetation restoration, so as to determine the post-construction soil properties of each vegetation coverage area after construction, and combine the terrain information of each vegetation coverage area to match the appropriate planting vegetation for different vegetation coverage areas, so as to establish a vegetation restoration plan for the designated area. In this way, not only can the vegetation growth in the designated area be analyzed, but also the key indicators such as vegetation restoration speed, type and coverage can be specifically predicted, providing more detailed guidance for vegetation restoration work.

[0021] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0022] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 A schematic diagram of the workflow of a method for predicting vegetation restoration after the construction of a transmission and transformation tower foundation based on environmental and water conservation considerations in an embodiment of the present invention; Figure 2 This is a schematic diagram of the workflow of step 5 of the method for predicting vegetation restoration after transmission and transformation tower foundation construction based on environmental and water conservation considerations in an embodiment of the present invention. DETAILED DESCRIPTION

[0024] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0025] Example 1 This embodiment provides a vegetation restoration prediction method after the construction of a transmission and transformation tower foundation based on environmental and water conservation considerations, such as Figure 1 As shown, including: Step 1: Collect multi-dimensional environmental data of a specified area, perform data preprocessing on the multi-dimensional data, and obtain multi-dimensional effective environmental data of the specified area; Step 2: Analyze several ecological parameters of the designated area using ecological principles and the multi-dimensional effective environmental data, and construct an ecological model of the designated area using the ecological parameters; Step 3: Collect the construction data of the designated area and input it into the ecological model, simulate the vegetation restoration results corresponding to the designated area in several designated time periods, and generate vegetation restoration dynamic information; Step 4: Analyze the positive and negative impacts of the construction on each vegetation coverage area based on the vegetation restoration dynamic information, and establish the post-construction soil properties corresponding to each vegetation coverage area; Step 5: According to the soil properties after construction and the terrain information of the corresponding vegetation coverage area, the corresponding planting vegetation is matched for each vegetation coverage area, and a vegetation restoration plan for the designated area is established.

[0026] In this example, the multi-dimensional environmental data includes: terrain data, climate data, hydrological data, soil data, biological data, and vegetation data, etc. The multi-dimensional environmental data represents various types of data presented in the specified area before construction; In this example, the ecological parameter represents the result of converting the data in the specified area into ecological data; In this example, the ecological principles represent the relationship between organisms and the environment and their mechanisms of action, including: the principle of material recycling, the principle of species diversity, the principle of coordination and balance, the principle of integrity, and the principles of systems and engineering; In this example, the ecological model represents the result of simulating the organisms in a specified area using ecological principles; In this example, the construction data is the data presented after the construction of the power transmission and transformation tower foundation in the specified area is completed; In this example, the vegetation coverage range refers to the range of land covered with vegetation before construction in the designated area; In this example, the specified dynamic restoration information includes the dynamic conditions of vegetation coverage and growth corresponding to different specified time periods in the specified area.

[0027] The working principle and beneficial effects of the above technical solution: In order to provide a comprehensive decision-making basis for the coordinated development of engineering construction and environmental protection, data is collected from the designated area of ​​this construction before construction to obtain multi-dimensional environmental data in the area. Then, a series of processing is performed on the multi-dimensional environmental data to obtain its multi-dimensional effective environmental data, which is convenient for subsequent data analysis. Then, the ecological model of the designated area is constructed using ecological principles and multi-dimensional effective environment. After the construction is completed, the construction data of the designated area is collected, and then the ecological model is used to simulate the vegetation restoration results of the area, thereby constructing the dynamic information of vegetation restoration in the designated area. Since different types of construction will have different impacts on the environment, the positive and negative effects of this construction on different vegetation coverage areas in the designated area are analyzed based on the dynamic information of vegetation restoration, so as to determine the post-construction soil properties of each vegetation coverage area after construction, and combine the terrain information of each vegetation coverage area to match the appropriate planting vegetation for different vegetation coverage areas, so as to establish a vegetation restoration plan for the designated area. In this way, not only can the vegetation growth situation in the designated area be analyzed, but also the key indicators such as vegetation restoration speed, type and coverage can be specifically predicted, providing more detailed guidance for vegetation restoration work.

[0028] Example 2 On the basis of Example 1, the vegetation restoration prediction method after the construction of the transmission and transformation tower foundation based on environmental and water conservation considerations also includes: Planting corresponding optional vegetation in each planting area according to the vegetation restoration plan; After the planting is completed, the vegetation in the designated area is maintained according to the vegetation restoration plan.

[0029] The working principle and beneficial effects of the above technical solution: Propose maintenance and management measures after vegetation restoration to ensure the long-term survival of vegetation and the performance of its ecological functions.

[0030] Example 3 On the basis of Example 1, the vegetation restoration prediction method after the construction of the transmission and transformation tower foundation based on environmental and water conservation considerations, the step 1 comprises: Step 11: using a geographic information system to collect terrain data, climate data, and hydrological data of the designated area, performing soil sampling and analysis on the designated area to obtain soil data and microbial data of the designated area, performing vegetation sampling and analysis on the designated area to obtain vegetation coverage data and vegetation type data of the designated area, and statistically analyzing a number of data corresponding to the designated area to generate multi-dimensional environmental data of the designated area; Step 12: Preliminary cleaning of the multi-dimensional environmental data, eliminating redundant data in the multi-dimensional environmental data to generate preliminary cleaned multi-dimensional environmental data, screening missing data bits contained in the preliminary cleaned multi-dimensional environmental data, respectively determining the data dimensions corresponding to each missing data bit, locating dimension-related data corresponding to each data dimension in the preliminary cleaned multi-dimensional environmental data, and using the median data corresponding to the dimension-related data to perform compensation cleaning for the corresponding missing data bit to generate compensated cleaned multi-dimensional environmental data; Step 13: obtaining a plurality of data scales contained in the compensated and cleaned multidimensional environmental data, respectively determining a plurality of scale-related data corresponding to each of the data scales, respectively marking a data scale corresponding to each of the scale-related data in the compensated and cleaned multidimensional environmental data, analyzing a prominent data scale of the compensated and cleaned multidimensional environmental data, and normalizing the compensated and cleaned multidimensional data using the prominent data scale to generate normalized multidimensional environmental data; Step 14: Acquire several data formats contained in the normalized multi-dimensional environmental data, convert the normalized multi-dimensional environmental data into a standard data format using a conversion relationship between different data formats, and obtain the multi-dimensional effective environmental data of the designated area.

[0031] In this example, geographic information system (GIS) and remote sensing technology were used to collect terrain data, climate data and hydrological data. Field sampling and laboratory analysis were used to collect soil data and microbial data to obtain soil physical properties (such as soil structure and texture), chemical properties (such as pH value and organic matter content) and biological properties (such as microbial diversity). Vegetation coverage data and vegetation planting data were collected to count vegetation types, distribution and growth conditions before construction. In this instance, preliminary cleaning refers to the process of eliminating redundant data in the multi-dimensional environmental data; In this example, compensating cleaning refers to the process of performing data compensation on missing data bits in the cleaning multi-dimensional environment data; In this example, the missing data bit represents a blank data bit in the cleaning multi-dimensional environment data, and the data on the data bit is lost; In this example, the data dimension represents the description dimension of the data corresponding to the missing data bit. For example, if a missing data bit is on the terrain data, its data dimension is: terrain data dimension; In this example, the dimension-related data represents the data corresponding to the missing data bit, for example: a missing data bit of data is on the terrain data, and its dimension-related data is: terrain data; In this example, the data scale represents the standard used to describe the true meaning of the quantitative method and numerical value in the compensation cleaning multi-dimensional environmental data. The data scales corresponding to different data can be the same or different; In this example, the prominent data scale represents the data scale that appears most frequently in the compensation cleaning multi-dimensional environmental data; In this example, the data format refers to the organization and representation of data contained in the normalized multi-dimensional environmental data; In this example, the standard data format refers to a data format that is set in advance and can be recognized by ecological principles.

[0032] The working principle and beneficial effects of the above technical solution: Since the designated area contains a variety of data, the collected data must be cleaned, normalized and formatted before conducting ecological analysis to facilitate subsequent analysis. First, various types of data in the designated area are collected in a variety of ways to construct multi-dimensional environmental data of the area. Then, the multi-dimensional environmental data is preliminarily cleaned and compensated, and further normalized and formatted. Through multiple processing, multi-dimensional effective environmental data of the designated area can be obtained. This can eliminate redundancy and interference in the original data, avoid unnecessary analysis processes caused by data loss and different data formats, reduce the steps of subsequent work, and improve the effectiveness and efficiency of the overall prediction process.

[0033] Example 4 On the basis of Example 1, the vegetation restoration prediction method after the construction of the power transmission and transformation tower foundation based on environmental and water conservation considerations, the step 2 comprises: Step 21: Based on ecological principles, the multi-dimensional effective environmental data is divided into ecological soil sub-data, ecological water molecule data and ecological vegetation sub-data, and at the same time, the soil-water-vegetation data relationship of the specified area is constructed, and the soil-water-vegetation data relationship is trained using random forest technology to generate a regional decision tree for the specified area; Step 22: constructing a plurality of soil nodes of the designated area according to the ecological soil sub-data, constructing a plurality of moisture nodes of the designated area according to the ecological water molecule data, and constructing a plurality of vegetation nodes of the designated area according to the ecological vegetation sub-data, inputting the soil nodes, the moisture nodes and the vegetation nodes into the regional decision tree for ecological decision-making, and obtaining a plurality of ecological logic rules in the designated area; Step 23: Analyze the data logic of the multi-dimensional effective environmental data using the ecological logic rules to generate a number of ecological parameters for the designated area; establish a regional model for the designated area according to the ecological logic rules and preset model building rules; use the ecological parameters to adjust the model parameters in the regional model to generate an ecological model for the designated area.

[0034] In this example, the ecological soil sub-data represents the data related to ecological soil in the multi-dimensional effective environmental data, the ecological water molecule data represents the data related to ecological water in the multi-dimensional effective environmental data, and the ecological vegetation sub-data represents the data related to ecological vegetation in the multi-dimensional effective environmental data; In this example, there may be overlapping sub-data between the ecological soil sub-data, the ecological water molecule data, and the ecological vegetation sub-data; In this example, the soil-water-vegetation data relationship represents the ecological relationship between soil, water and vegetation in a specified area; In this example, the purpose of constructing a regional decision tree is to: identify the key factors affecting vegetation restoration; In this example, various types of nodes can intersect in the regional decision tree; In this example, the ecological logic rule represents the rule for achieving ecological balance or ecological imbalance among soil, water and vegetation in a specified area.

[0035] The working principle and beneficial effects of the above technical solution: In order to conduct a unified analysis of the ecological problems in the designated area, it is necessary to establish an ecological model for the designated area. First, the multi-dimensional effective environmental data are divided according to ecological principles, and the soil-water-vegetation data relationship in the designated area is determined. A regional decision tree is constructed by training the soil-water-vegetation data relationship, and then the corresponding nodes are constructed according to the divided sub-data. The nodes are analyzed by the regional decision tree to form the ecological logic rules in the designated area. Then, the ecological parameters of the designated area are determined by analyzing the data logic of the multi-dimensional effective environmental data, thereby establishing an ecological model for the designated area. In this way, the ecological problems in the designated area can be comprehensively analyzed, and the model can be used to intuitively understand the ecological status of the designated area, which is convenient for vegetation restoration after construction.

[0036] Example 5 On the basis of Example 1, the vegetation restoration prediction method after the construction of the transmission and transformation tower foundation based on environmental and water conservation considerations, the step 3 comprises: Step 31: after the construction in the designated area is completed, a plurality of construction data of the designated area are collected, and data preprocessing is performed on each of the construction data to generate a plurality of valid construction data, and cluster analysis is performed on the valid construction data to obtain a plurality of construction data sets; Step 32: cross-validating the ecological model using the construction data set to obtain a number of ecological vegetation parameters contained in the designated area, and adjusting the sub-model parameters corresponding to the vegetation sub-model in the ecological model using the ecological vegetation parameters to obtain a post-construction model of the designated area; Step 33: determining several types of ecological vegetation included in the designated area according to the ecological model, and respectively determining the vegetation coverage range corresponding to each of the ecological vegetation, and respectively mapping each of the vegetation coverage ranges to the post-construction model; Step 34: Run the post-construction model to simulate the vegetation coverage information corresponding to each of the mapping ranges in different specified time periods, determine the vegetation growth recovery speed and the vegetation species increase and decrease speed corresponding to each of the mapping ranges based on the vegetation coverage information, construct several vegetation restoration results for the specified area, and establish vegetation restoration dynamic information corresponding to different specified time periods for the specified area based on several vegetation restoration results corresponding to the same specified time period.

[0037] In this example, cross validation means that a construction data set is randomly reserved as a sample, and the remaining construction data sets are used to train the ecological model to obtain an ecological vegetation parameter, and then another construction data set is randomly reserved as a sample, and the training process is repeated; In this example, the post-construction model represents the situation after the construction of the specified area is completed; In this example, ecological vegetation refers to the vegetation that exists in a designated area before construction is performed; In this example, each ecological vegetation corresponds to a vegetation coverage range; In this example, the vegetation growth recovery rate represents the vegetation growth recovery rate within a mapping range without human interference; In this example, the rate of increase or decrease of vegetation types indicates the rate at which the number of vegetation types in a mapping range increases or decreases without human interference.

[0038] The working principle and beneficial effects of the above technical solution are as follows: in order to analyze the vegetation restoration situation in a designated area, construction data of the designated area is collected after the construction is completed, and then corresponding preprocessing is performed on it to generate effective construction data, and then a construction data set of the designated area is further constructed, and the ecological model is cross-validated using the construction data set to determine the ecological vegetation parameters contained in the designated area, thereby constructing a post-construction model of the designated area, and further analyzing the vegetation growth recovery speed and the increase and decrease speed of vegetation species in each vegetation coverage area to construct the identification and restoration results of the designated area, thereby identifying the restoration results corresponding to different time periods to establish the vegetation restoration dynamic information of the designated area. In this way, the self-recovery capacity of the designated area can be analyzed, so as to facilitate the subsequent construction of a vegetation restoration plan suitable for the area based on the vegetation prediction results of the designated area.

[0039] Example 6 On the basis of Example 1, the vegetation restoration prediction method after the construction of the transmission and transformation tower foundation based on environmental and water conservation considerations also includes: The designated time periods are one year after construction, two years after construction, and five years after construction; A visual vegetation coverage map corresponding to different specified time periods of the specified area is constructed and displayed according to the vegetation restoration dynamic information corresponding to each specified time period.

[0040] The working principle and beneficial effects of the above technical solution: The prediction results are presented in the form of charts or maps to facilitate understanding and communication.

[0041] Example 7 On the basis of Example 1, the vegetation restoration prediction method after the construction of the power transmission and transformation tower foundation based on environmental and water conservation considerations, the step 4 comprises: Step 41: analyzing the vegetation coverage speed corresponding to each vegetation coverage range in the designated area in different designated time periods according to the vegetation restoration dynamic information, evaluating the corresponding vegetation coverage speed according to the natural coverage speed corresponding to each designated time period, and determining the natural restoration characteristics corresponding to the vegetation coverage range; Step 42: Estimate the biodiversity characteristics of the corresponding vegetation coverage area based on the natural restoration characteristics, establish a number of ecosystem functions corresponding to the designated area in different time periods, and determine the positive and negative impacts of the construction on each of the vegetation coverage areas based on the ecosystem functions; Step 43: Determine the negative impact range contained in the designated area according to the ecosystem function, find the negative performance characteristics corresponding to the negative impact, and input them into the first model range corresponding to the ecological model; determine the positive impact range contained in the designated area according to the ecosystem function, find the positive performance characteristics corresponding to the positive impact, and input them into the second model range corresponding to the ecological model; Step 44: In the ecosystem model, respectively search for the initial soil characteristics corresponding to each model range in the soil model, and negatively adjust and / or positively adjust the corresponding initial soil characteristics in combination with the negative performance characteristics and / or positive performance characteristics corresponding to each model range, so as to obtain the range soil properties corresponding to each model range, and generate the post-construction soil properties corresponding to each vegetation coverage range.

[0042] In this example, the natural cover rate refers to the growth and cover rate of vegetation without human interference and environmental pollution; In this example, biodiversity characteristics represent the characteristics of plant and animal species in the vegetation cover; In this example, positive impacts represent the benefits brought to a specified area as a result of the construction, for example: a certain material used in the construction contains trace elements suitable for plant growth; In this example, negative impacts refer to the harm caused to a designated area by construction, for example: a large area of ​​vegetation is removed during construction; In this example, the negative performance feature refers to the feature associated with negative influence presented in the specified area, and the positive performance feature refers to the feature associated with positive influence presented in the specified area; In this example, the negative performance feature matches the first model range, and the positive performance feature matches the second model range. The first model range and the second model range may have an overlapping range.

[0043] The working principle and beneficial effects of the above technical solution: Since construction will have an impact on the ecology, the soil properties of the designated area will change before and after construction. In order to determine the properties of the soil after construction, the vegetation coverage rate of the designated coverage area is constructed through the vegetation restoration dynamic information, and the natural recovery characteristics of the vegetation coverage area are analyzed in combination with its corresponding natural coverage rate, so as to estimate the biodiversity characteristics of each vegetation coverage area, and further analyze the positive and negative impacts of this construction according to the ecosystem function of the designated area, and determine the positive and negative impact ranges in the designated area in combination with the ecological model, so as to use its corresponding negative performance characteristics and / or positive performance characteristics and its initial soil characteristics to construct the soil properties of each vegetation coverage area after construction, so as to lay the foundation for the subsequent selection of corresponding vegetation and construction of vegetation restoration plan.

[0044] Example 8 On the basis of Example 1, the vegetation restoration prediction method after the construction of the transmission and transformation tower foundation based on environmental and water conservation considerations is as follows: Figure 2 As shown, the step 5 includes: Step 51: Obtain map information of the designated area, determine terrain information corresponding to each vegetation coverage area according to the map information, and fuse the post-construction soil properties corresponding to each vegetation coverage area with the corresponding terrain information to obtain the land attribute information of the designated area; Step 52: simulating the simulated growth rate and the simulated survival rate of each optional vegetation in the corresponding vegetation coverage range according to the land attribute information, and selecting the planting vegetation corresponding to the vegetation coverage range based on the simulated growth rate and the simulated survival rate; Step 53: respectively searching for the planting requirements corresponding to each of the planted vegetation, determining the planting interval, planting layout and planting time corresponding to each of the planted vegetation according to the planting requirements, and generating a vegetation restoration plan for the designated area.

[0045] In this example, the land attribute information represents the topography and soil information of each vegetation coverage area in the specified area.

[0046] The working principle and beneficial effects of the above technical solution: In order to effectively improve the survival rate of vegetation and restore the ecological balance as soon as possible, it is necessary to select vegetation for planting according to the actual situation of the designated area. First, the terrain information and soil properties of each vegetation coverage area are analyzed to construct the land attribute information of the designated area. Further, the corresponding growth rate and survival rate of different optional vegetation when planted in different vegetation coverage areas are analyzed through simulation, so as to select vegetation that is suitable for different vegetation coverage areas, and consider the planting needs of each vegetation to adjust its corresponding planting interval, planting layout and planting time. Finally, an available, efficient and detailed vegetation restoration plan is obtained.

[0047] Example 9 On the basis of Example 1, the vegetation restoration prediction method after the construction of the transmission and transformation tower foundation based on environmental and water conservation considerations also includes: The vegetation restoration speed of the designated area is estimated according to the vegetation restoration plan and displayed visually.

[0048] Example 10 On the basis of Example 9, the vegetation restoration prediction method after the construction of the power transmission and transformation tower foundation based on environmental and water conservation considerations further includes: The biological growth trend of the designated area is estimated according to the vegetation restoration plan and displayed visually.

[0049] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A vegetation restoration prediction method after the construction of power transmission and transformation tower foundation based on environmental and water conservation considerations, characterized in that: include: Step 1: Collect multi-dimensional environmental data of a specified area, perform data preprocessing on the multi-dimensional data, and obtain multi-dimensional effective environmental data of the specified area; Step 2: Analyze several ecological parameters of the designated area using ecological principles and the multi-dimensional effective environmental data, and construct an ecological model of the designated area using the ecological parameters; Step 3: Collect the construction data of the designated area and input it into the ecological model, simulate the vegetation restoration results corresponding to the designated area in several designated time periods, and generate vegetation restoration dynamic information; Step 4: Analyze the positive and negative impacts of the construction on each vegetation coverage area based on the vegetation restoration dynamic information, and establish the post-construction soil properties corresponding to each vegetation coverage area; Step 5: According to the soil properties after construction and the terrain information of the corresponding vegetation coverage area, the corresponding planting vegetation is matched for each vegetation coverage area, and a vegetation restoration plan for the designated area is established.

2. The vegetation restoration prediction method after the construction of the power transmission and transformation tower foundation based on environmental and water conservation as claimed in claim 1 is characterized in that: Also includes: Planting corresponding optional vegetation in each planting area according to the vegetation restoration plan; After the planting is completed, the vegetation in the designated area is maintained according to the vegetation restoration plan.

3. The vegetation restoration prediction method after the construction of the power transmission and transformation tower foundation based on environmental and water conservation as claimed in claim 1 is characterized in that: The step 1 comprises: Step 11: using a geographic information system to collect terrain data, climate data, and hydrological data of the designated area, performing soil sampling and analysis on the designated area to obtain soil data and microbial data of the designated area, performing vegetation sampling and analysis on the designated area to obtain vegetation coverage data and vegetation type data of the designated area, and statistically analyzing a number of data corresponding to the designated area to generate multi-dimensional environmental data of the designated area; Step 12: Preliminary cleaning of the multi-dimensional environmental data, eliminating redundant data in the multi-dimensional environmental data to generate preliminary cleaned multi-dimensional environmental data, screening missing data bits contained in the preliminary cleaned multi-dimensional environmental data, respectively determining the data dimensions corresponding to each missing data bit, locating dimension-related data corresponding to each data dimension in the preliminary cleaned multi-dimensional environmental data, and using the median data corresponding to the dimension-related data to perform compensation cleaning for the corresponding missing data bit to generate compensated cleaned multi-dimensional environmental data; Step 13: obtaining a plurality of data scales contained in the compensated and cleaned multidimensional environmental data, respectively determining a plurality of scale-related data corresponding to each of the data scales, respectively marking a data scale corresponding to each of the scale-related data in the compensated and cleaned multidimensional environmental data, analyzing a prominent data scale of the compensated and cleaned multidimensional environmental data, and normalizing the compensated and cleaned multidimensional data using the prominent data scale to generate normalized multidimensional environmental data; Step 14: Acquire several data formats contained in the normalized multi-dimensional environmental data, convert the normalized multi-dimensional environmental data into a standard data format using a conversion relationship between different data formats, and obtain the multi-dimensional effective environmental data of the designated area.

4. The vegetation restoration prediction method after the construction of the power transmission and transformation tower foundation based on environmental and water conservation as claimed in claim 1 is characterized in that: The step 2 comprises: Step 21: Based on ecological principles, the multi-dimensional effective environmental data is divided into ecological soil sub-data, ecological water molecule data and ecological vegetation sub-data, and at the same time, the soil-water-vegetation data relationship of the specified area is constructed, and the soil-water-vegetation data relationship is trained using random forest technology to generate a regional decision tree for the specified area; Step 22: constructing a plurality of soil nodes of the designated area according to the ecological soil sub-data, constructing a plurality of moisture nodes of the designated area according to the ecological water molecule data, and constructing a plurality of vegetation nodes of the designated area according to the ecological vegetation sub-data, inputting the soil nodes, the moisture nodes and the vegetation nodes into the regional decision tree for ecological decision-making, and obtaining a plurality of ecological logic rules in the designated area; Step 23: Analyze the data logic of the multi-dimensional effective environmental data using the ecological logic rules to generate a number of ecological parameters for the designated area; establish a regional model for the designated area according to the ecological logic rules and preset model building rules; use the ecological parameters to adjust the model parameters in the regional model to generate an ecological model for the designated area.

5. The vegetation restoration prediction method after the construction of the power transmission and transformation tower foundation based on environmental and water conservation as claimed in claim 1 is characterized in that: The step 3 comprises: Step 31: after the construction in the designated area is completed, a plurality of construction data of the designated area are collected, and data preprocessing is performed on each of the construction data to generate a plurality of valid construction data, and cluster analysis is performed on the valid construction data to obtain a plurality of construction data sets; Step 32: cross-validating the ecological model using the construction data set to obtain a number of ecological vegetation parameters contained in the designated area, and adjusting the sub-model parameters corresponding to the vegetation sub-model in the ecological model using the ecological vegetation parameters to obtain a post-construction model of the designated area; Step 33: determining several types of ecological vegetation included in the designated area according to the ecological model, and respectively determining the vegetation coverage range corresponding to each of the ecological vegetation, and respectively mapping each of the vegetation coverage ranges to the post-construction model; Step 34: Run the post-construction model to simulate the vegetation coverage information corresponding to each of the mapping ranges in different specified time periods, determine the vegetation growth recovery speed and the vegetation species increase and decrease speed corresponding to each of the mapping ranges based on the vegetation coverage information, construct several vegetation restoration results for the specified area, and establish vegetation restoration dynamic information corresponding to different specified time periods for the specified area based on several vegetation restoration results corresponding to the same specified time period.

6. The vegetation restoration prediction method after the construction of the power transmission and transformation tower foundation based on environmental and water conservation as claimed in claim 5 is characterized in that: Also includes: The designated time periods are one year after construction, two years after construction, and five years after construction; A visual vegetation coverage map corresponding to different specified time periods of the specified area is constructed and displayed according to the vegetation restoration dynamic information corresponding to each specified time period.

7. The vegetation restoration prediction method after the construction of the power transmission and transformation tower foundation based on environmental and water conservation as claimed in claim 1 is characterized in that: The step 4 comprises: Step 41: analyzing the vegetation coverage speed corresponding to each vegetation coverage range in the designated area in different designated time periods according to the vegetation restoration dynamic information, evaluating the corresponding vegetation coverage speed according to the natural coverage speed corresponding to each designated time period, and determining the natural restoration characteristics corresponding to the vegetation coverage range; Step 42: Estimate the biodiversity characteristics of the corresponding vegetation coverage area based on the natural restoration characteristics, establish a number of ecosystem functions corresponding to the designated area in different time periods, and determine the positive and negative impacts of the construction on each of the vegetation coverage areas based on the ecosystem functions; Step 43: Determine the negative impact range contained in the designated area according to the ecosystem function, find the negative performance characteristics corresponding to the negative impact, and input them into the first model range corresponding to the ecological model; determine the positive impact range contained in the designated area according to the ecosystem function, find the positive performance characteristics corresponding to the positive impact, and input them into the second model range corresponding to the ecological model; Step 44: In the ecosystem model, respectively search for the initial soil characteristics corresponding to each model range in the soil model, and negatively adjust and / or positively adjust the corresponding initial soil characteristics in combination with the negative performance characteristics and / or positive performance characteristics corresponding to each model range, so as to obtain the range soil properties corresponding to each model range, and generate the post-construction soil properties corresponding to each vegetation coverage range.

8. The vegetation restoration prediction method after the construction of the power transmission and transformation tower foundation based on environmental and water conservation as claimed in claim 1 is characterized in that: The step 5 comprises: Step 51: Obtain map information of the designated area, determine terrain information corresponding to each vegetation coverage area according to the map information, and fuse the post-construction soil properties corresponding to each vegetation coverage area with the corresponding terrain information to obtain the land attribute information of the designated area; Step 52: simulating the simulated growth rate and the simulated survival rate of each optional vegetation in the corresponding vegetation coverage range according to the land attribute information, and selecting the planting vegetation corresponding to the vegetation coverage range based on the simulated growth rate and the simulated survival rate; Step 53: respectively searching for the planting requirements corresponding to each of the planted vegetation, determining the planting interval, planting layout and planting time corresponding to each of the planted vegetation according to the planting requirements, and generating a vegetation restoration plan for the designated area.

9. The vegetation restoration prediction method after the construction of the power transmission and transformation tower foundation based on environmental and water conservation as claimed in claim 1 is characterized in that: Also includes: The vegetation restoration speed of the designated area is estimated according to the vegetation restoration plan and displayed visually.

10. The vegetation restoration prediction method after the construction of the power transmission and transformation tower foundation based on environmental and water conservation as claimed in claim 9 is characterized in that: Also includes: The biological growth trend of the designated area is estimated according to the vegetation restoration plan and displayed visually.

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